DeepSeek-V4.1-Flash-UNCENSORED-DwarfStar-Q2

模型介绍

This is a community conversion of dealignAI's DeepSeek-V4.1-Flash-UNCENSORED-FP8 into the Q2 GGUF format that DwarfStar uses. **Why we're sharing it.** To save other people the trouble. We downloaded the source checkpoint, converted it on an Apple M5 Max MacBook Pro with 128 GB of unified memory, checked that the result worked, and hooked it up to OpenCode. If you want the same setup, you can download this file instead of pulling the roughly 510 GB source and spending several hours converting it yourself. This is an independent community effort, not an official release from DeepSeek, dealignAI, or DwarfStar. - **DeepSeek AI** built the original DeepSeek-V4.1-Flash model and its architecture. - **dealignAI** produced the abliterated checkpoint. Their model card credits **@dealignai and Jordan Schenck / @jordanschenck**. The abliteration is entirely their work. We didn't do it and don't take credit for it. - **Salvatore Sanfilippo (antirez) and the DwarfStar contributors** wrote the inference engine, the V4.1 converter, the quantization code, and the validation tools we used. DwarfStar in turn builds on **llama.cpp and the GGML authors**, whose copyright notices are kept in `LICENSE-DwarfStar`. - **pyrodog** ran the conversion, packaged it, did the local testing described below, and uploaded it, with help from OpenAI Codex. No training, fine-tuning, merging, or additional abliteration was done. The language weights are quantized from the source checkpoint; the optional vision tensors are copied unchanged in BF16.

主要特点

特点摘要待依据来源补齐，不凭模型名称推断能力。

局限与注意事项

暂无足够来源支持具体缺点结论。请重点验证实际任务表现、时延、数据政策、许可与版本生命周期。

来源报价与费用分析

同一模型在不同渠道、地区和配置下可能采用不同价格。下表独立保留各渠道报价，不将渠道价格视为厂商官方统一价格。

公开评测与运行配置

暂无已采集的可核验公开评分。模型未上榜不代表能力较低。

常见问题

资料来源与可追溯记录

许可证：mit。模型介绍与第三方评测均以原来源的具体版本和方法为准。